Discussing the Scientific Evidence Generation and Psychological Research Methods in Postmodern Societies

• Autorzy: Albert Sesé
• Języki publikacji: EN

Abstrakty

EN

Evidence generation by current Social and Health Sciences is coping with some important barriers that difficult credibility of scientific products. Information and communication technologies have a strong impact over social relationships in our postmodern societies. The incidence of post-truth in our context is generating a pernicious relativism, far from contrasting the information veracity. The aim of this paper is to analyze and discuss the challenges of research methods and statistical models, more specifically for Psychological research, taking into account the impact of novel techniques as big data and virtual reality. Special attention is also devoted to the discussion about statistical shortcomings of psychological research and to the reproducibility problem. Finally, some potential solutions are proposed to be applied in order to improve the quality of scientific evidence.(original abstract)

Słowa kluczowe

EN

Virtual reality; Big Data; Society; Post-truth

PL

Rzeczywistość wirtualna; Big Data; Społeczeństwo; Postprawda

• Czasopismo: Journal for Perspectives of Economic Political and Social Integration
• Rocznik: 2018
• Tom: 24
• Numer: nr 2
• Strony: 9--30

Twórcy

autor

Albert Sesé

• Balearic Islands University

Bibliografia

• Badenes, L., Frías, D., Monterde, H., & Pascual, M. (2015). Interpretation of the p value. A national survey study in academic psychologists from Spain. Psicothema, 27(3), 290-295. doi: 10.7334/psicothema2014.283
• Chen, E., Wojcik, S. (2016). A Practical Guide to Big Data Research in Psychology. Psychological Methods, 21, 458-474. doi: 10.1037/met0000111.
• Dumas-Mallet, E., Smith, A., Boraud, T., Gonon, F. (2017). Poor replication validity of biomedical association studies reported by newspapers. PLoS One. doi: 10.1371/journal.pone.0172650
• Loftus, G. R. (1996). Psychology will be a much better science when we change the way we analyze data. Current directions in psychological science, 5, 161-171. doi: 10.1111/1467-8721.ep11512376
• Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), 1-8. doi: 10.1126/science.aac4716
• Sesé, A., Palmer, A. (2012). The current use of statistics in Clinical and Health Psychology under review. Clinic & Health, 23(1), 97-108. doi: 10.5093/c12012v23n1a2

Identyfikatory

DOI

10.2478/pepsi-2018-0006